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Showing 3676–3700 of 661570 papers

TitleStatusHype
Evaluating Counterfactual Strategic Reasoning in Large Language Models—0
AIMER: Calibration-Free Task-Agnostic MoE Pruning—0
Remove360: Benchmarking Residuals After Object Removal in 3D Gaussian Splatting—0
LLM-Augmented Changepoint Detection: A Framework for Ensemble Detection and Automated Explanation—0
BVSIMC: Bayesian Variable Selection-Guided Inductive Matrix Completion for Improved and Interpretable Drug Discovery—0
HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships—0
Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images—0
NeuroGame Transformer: Gibbs-Inspired Attention Driven by Game Theory and Statistical PhysicsCode0
Implicit Grading Bias in Large Language Models: How Writing Style Affects Automated Assessment Across Math, Programming, and Essay Tasks—0
Progressive Training for Explainable Citation-Grounded Dialogue: Reducing Hallucination to Zero in English-Hindi LLMs—0
DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering—0
GSMem: 3D Gaussian Splatting as Persistent Spatial Memory for Zero-Shot Embodied Exploration and Reasoning—0
Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language Navigation—0
OS-Themis: A Scalable Critic Framework for Generalist GUI Rewards—0
Evaluating Game Difficulty in Tetris Block Puzzle—0
On Optimizing Multimodal Jailbreaks for Spoken Language Models—0
Words at Play: Benchmarking Audio Pun Understanding in Large Audio-Language Models—0
DSPO: Stable and Efficient Policy Optimization for Agentic Search and Reasoning—0
DriveSplat: Unified Neural Gaussian Reconstruction for Dynamic Driving Scenes—0
A Unified Generalization Framework for Model Merging: Trade-offs, Non-Linearity, and Scaling Laws—0
Is Hierarchical Quantization Essential for Optimal Reconstruction?—0
RE-SAC: Disentangling aleatoric and epistemic risks in bus fleet control: A stable and robust ensemble DRL approach—0
Discounted Beta--Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards—0
GAPSL: A Gradient-Aligned Parallel Split Learning on Heterogeneous Data—0
Transformers Learn Robust In-Context Regression under Distributional Uncertainty—0
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